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Pseudo-labelling

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#121 0 comments 0 reactions 0 assignees View on GitHub

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Assessment

Difficulty
2/5
Estimated time
1-3 hours
Newbie friendliness
35/100
Issue type
Documentation
Clarity
Needs clarification
Activity status
Stale
Domain
documentation, machine-learning

Research direction

Read the two linked articles to determine the intended pseudo-labelling topic and scope. Then inspect the repository's existing TIL entries and conventions; done would be a complete, published entry if this issue is intended to add one.

Written by the indexing model from the issue text.

Description

To Read

https://towardsdatascience.com/pseudo-labeling-to-deal-with-small-datasets-what-why-how-fd6f903213af
https://isaac-flath.github.io/blog/deep%20learning/2020/11/26/Pseudo-Labeling.html

Dominant language
CSS
Stars
8
Forks
2
No merged PRs in 30d

Getting set up

This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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